moderate_wind: Estimation of the daily hours with moderate wind from daily...

In Carm1r/fruclimadapt: Evaluation Tools for Assessing Climate Adaptation of Fruit Tree Species

Estimation of the daily hours with moderate wind from daily weather data

Description

This function estimates the daily hours with wind speed equal or above than 'moderate breeze' wind (5.5 m s-1 in the Beaufort scale) from a dataset with daily wind speeds. Hourly wind speeds from daily values are computed using the formulas proposed by Guo et al (2016), using mean daily values (u2med, required) and maximum ones (u2max, optional). If only mean wind values are available, the function uses a modified version of the Guo formula, so that the maximum values are obtained in daytime hours.

Usage

moderate_wind(climdata)

Arguments

climdata

a dataframe with daily wind speed data. Required columns are Year, Month, Day and u2med. u2max is an optional data column.

Value

dataframe with the columns Date, Year, Month, Day, DOY, and h_wind (hours with wind speed equal or above 5.5 m/s).

Author(s)

Carlos Miranda, [e-mail]

References

Guo Z, Chang C, Wang R, 2016. A novel method to downscale daily wind statistics to hourly wind data for wind erosion modelling. In: Bian F., Xie Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. GRMSE 2015. Communications in Computer and Information Science, vol 569. Springer, Berlin, Heidelberg

Examples

# Estimate daily hours with wind speed above moderate speeds for the example
# dataset
library(magrittr)
library(dplyr)
library(lubridate)
Tudela_Mu2 <- moderate_wind(Tudela_DW)

Carm1r/fruclimadapt documentation built on May 8, 2023, 12:37 p.m.